| 123456789101112131415161718192021222324252627282930313233343536373839404142434445 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2012 Institut National de Recherche en Informatique et Automatique * Copyright (C) 2010, 2011, 2013  Centre National de la Recherche Scientifique * Copyright (C) 2010  Université de Bordeaux * * StarPU is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 2.1 of the License, or (at * your option) any later version. * * StarPU is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * * See the GNU Lesser General Public License in COPYING.LGPL for more details. *//* CUDA implementation of the `vector_scal' task.  */#include <starpu.h>#include <starpu_cuda.h>#include <stdlib.h>static __global__ voidvector_mult_cuda (unsigned int n, float *val, float factor){  unsigned i = blockIdx.x * blockDim.x + threadIdx.x;  if (i < n)    val[i] *= factor;}extern "C" voidvector_scal_cuda (unsigned int size, float vector[], float factor){  unsigned threads_per_block = 64;  unsigned nblocks = (size + threads_per_block - 1) / threads_per_block;  vector_mult_cuda <<< nblocks, threads_per_block, 0,       starpu_cuda_get_local_stream () >>> (size, vector, factor);  cudaStreamSynchronize (starpu_cuda_get_local_stream ());}
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